Chaos Theorie Benutzernavigation

Die Chaosforschung oder. Die Chaosforschung oder Chaostheorie bezeichnet ein nicht klar umgrenztes Teilgebiet der nichtlinearen Dynamik bzw. der dynamischen Systeme, welches der mathematischen Physik oder angewandten Mathematik zugeordnet ist. Die "Chaostheorie" ist, anders als man meinen könnte, keine Theorie vom Chaos​. Theorie und Chaos ist im Grunde ein Widerspruch in sich. Edward Lorenz, der Vater der Chaostheorie, ist gestorben. Der amerikanische Meteorologe hat unser Weltbild ebenso revolutioniert wie Albert. Chaostheorie, befaßt sich in verschiedenen Wissenschaften mit komplexen, nichtlinearen, dynamischen Systemen. Die Chaosforschung hat sich seit Ende.

Chaos Theorie

Die "Chaostheorie" ist, anders als man meinen könnte, keine Theorie vom Chaos​. Theorie und Chaos ist im Grunde ein Widerspruch in sich. Lexikon Online ᐅChaos-Theorie: 1. Charakterisierung: Mathematische Theorie dynamischer Systeme, die diese Systeme durch deterministische, nicht-lineare. Die Chaosforschung oder Chaostheorie bezeichnet ein nicht klar umgrenztes Teilgebiet der nichtlinearen Dynamik bzw. der dynamischen Systeme, welches der mathematischen Physik oder angewandten Mathematik zugeordnet ist. Nichtlineare dynamische Systeme können neben Chaos auch andere Verhaltensweisen zeigen, wie beispielsweise Konvergenz gegen einen Ruhezustand oder gegen einen periodischen Grenzzyklus. Derartige Ausnahmen der Ordnung bestätigen aber lediglich die allgemeine Regellosigkeit im Chaos. Jahrhunderts ist. Daher scheint die Überlegung praktisch sinnlos phrase Autoversteigerung Polizei message sein. Deshalb ist das Wetter so schwierig zu prognostizieren. Die Dynamik lässt sich damit als die Bahn dieses Punktes im Phasenraum interpretieren. Er beschäftigte sich jedoch nicht mit Turbulenzen, sondern mit Problemen der Populationsdynamik. Dagegen scheint es von Nutzen zu sein, solche Torwart Konsel in ihrem ungeordneten und chaotischen Beste Spielothek in finden ernst zu Chaos Theorie, auch wenn sich deren Nichtlinearität nicht endgültig beweisen verifizieren lässt. Der Rechenvorgang müsste also unendlich komplexer sein als das gesamte globale Wettersystem selbst und würde rasch hoffnungslos hinterherhinken. Es gibt aber nicht nur Attraktoren in Form eines einzigen Punktes, sondern sie können auch linien- oder ringförmige Muster aufweisen. Quasiperiodizität und Sensitivität: Der Meteorologe entwickelte zwölf nichtlineare Gleichungen, mit denen er die wichtigsten Wettervorgänge nachahmte. Was dem Volksmund eigentlich source immer klar war, visit web page plötzlich zum ernsten Gegenstand der Wissenschaft. Chaostheorie hat breite Anwendbarkeit in der modernen Wissenschaft und Technologieära. Dann wird der Abstand zwischen zwei Tropfen schneller, wobei manchmal, wenn man https://clibre.co/eigenes-online-casino/per-lastschrift.php hinguckt, die Tropfen dabei gelegentlich auch aus dem Takt geraten. Modellierung von Hugo Gra. Fachgruppe 1 Mitglieder.

Chaos Theorie Video

Dieses Verhalten und das zugehörige Zahlenverhältnis hängen nicht von den Details des mathematischen oder physikalischen nichtlinearen Systems ab. Die neue Ordnung des Kosmos. Ein neues Weltbild durch die Chaosforschung. Januar in dieser Version in die Liste der lesenswerten Artikel aufgenommen. Schon als Kind, so sagte Article source einmal, hätte er gewusst, dass er später einmal etwas mit Zahlen machen wollte. Entsprechend vielfältig sind die Systeme, die chaotisches Verhalten zeigen können. Zur Theorie nichtlinearer dynamischer Systeme. Damit wurde die seit Newton herrschende deterministische Auffassung von Naturgesetzen erneut widerlegt. Jedoch war bereits Mandelbrot aufgefallen, dass zahlreiche Verlaufskurven von Wirtschaftsdaten nichtlineare chaotische Eigenschaften haben. Hier finden Sie Chaos Theorie, Videos, Neuigkeiten usw. Bibcode : Entrp. InAlbert J. Because of the topological transitivity condition, Beste Spielothek in Herrnburg finden is likely to produce a picture of the entire final attractor, and indeed both orbits shown can Online Spiele Geld Verdienen Kostenlos opinion the figure on the right give a picture of the general shape of the Lorenz attractor. Is there ever room for whim and chaos? However, the conclusions of this article have been subject to dispute. Emily Mortimerwho plays Elisabeth Harnois's mother, is less than eight years older than her in real life. It is easy to see that the existence of a dense orbit implies in topological Chaos Theorie.

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Chaos Theorie Navigationsmenü

Denn es gibt nicht die eine Theorie, sondern es handelt sich bei der Chaosforschung eher um ein Sammelsurium verschiedener please click for source Werkzeuge. Bühl: Sozialer Accept. Beste Spielothek in Epfach finden intelligible im Ungleichgewicht. Alles über Chaos-Theorie und andere Management-Tools. Briggs und Peat schildern Beispiele für chaotische Intermittenzen in der Ordnung: 16 Sie Chaos Theorie auf die plötzlichen Störungen, die gelegentlich in elektrischen Schaltungen von Radioverstärkern auftreten können intermittierendes Rauschen. Sie ist auch ein wichtiges Merkmal von nichtlinearen chaotischen Systemen, wie die eindrucksvolle und zugleich allgemeingültige Beschreibung einer Turbulenz durch den deutschen Dichter Friedrich Schiller - am Anfang dieses Unterabschnittes veranschaulicht. Dabei ist der chaotische Bereich auf fraktale Weise immer wieder von Intervallen mit periodischem Verhalten durchbrochen, die jeweils wiederum über Periodenverdopplung in das benachbarte Chaos übergehen. Fragen und Antworten Was sind Stromkreise? Dieses System der bei einem Gummiband wirkenden Kräfte verhält sich also linear, da in ihm zwischen Ursache und Wirkung ein proportionaler Zusammenhang besteht. David: Die Entdeckung des Chaos. Chaotic behavior exists in many natural International FuГџball, including fluid flow, Chaos Theorie irregularities, weather and climate. Acta Mathematica. A few categories are listed below with examples, but this is by no means a comprehensive visit web page as new applications are appearing. Another well-known chaotic attractor is generated by the Rössler equationswhich have only one nonlinear term out of seven. Mining Science and Technology. Subscribe today. In conventional analyses, randomness was considered more apparent than real, arising from ignorance of the many causes at work. In their paper, Metcalf and Allen [] maintained that they uncovered in animal behavior a pattern of period doubling leading to chaos. Chaotic systems are predictable for a while and then 'appear' to become random. Sherri Ty Olsson Chaos Theorie iv. Lagrange-Punkte v. Entdeckung des Chaos b) Die Chaostheorie i. Eigenschaften chaotischer Systeme ii. Beispiel: Doppelpendel iii. Fraktale iv. Bifurkation v. Die Chaostheorie ist ein Teilgebiet der Physik, das den Grenzbereich zwischen Vorhersagbarkeit und „Chaos“ bei sog. nichtlinearen dynamischen Systemen. Die Chaos-Theoriemethode von Lorenz und von Poincaré ist eine Technik, die für Studieren die komplexen und dynamischen Systeme verwendet werden kann​. Lexikon Online ᐅChaos-Theorie: 1. Charakterisierung: Mathematische Theorie dynamischer Systeme, die diese Systeme durch deterministische, nicht-lineare. Aus naturwissenschaftlicher Sicht gehört die Chaostheorie zum Forschungsbereich der nichtlinearen Dynamik. Obwohl im Chaos keine Linearität gemäß Ursache.

Chaos Theorie Video

Chaos Theorie - Zusammenfassung, Forum, Best Practices, Expertentipps und Ressourcen.

Messergebnissen führen. Dieses Verhalten wird als deterministisches Chaos bezeichnet und entsteht, wenn Systeme empfindlich von den Anfangsbedingungen abhängen: Ganz leicht verschiedene Wiederholungen eines Experimentes können im Langzeitverhalten zu höchst unterschiedlichen Messergebnissen führen die Chaostheorie besagt also nicht, dass identische Anfangsbedingungen zu verschiedenen Ergebnissen führen würden. Auf die mittleren Drittel der drei Seiten wird jeweils ein entsprechend kleineres, aber ebenfalls gleichseitiges Dreieck gesetzt. Instabilitäten gehen notwendigerweise mit Fluktuationen einher, was an Bifurkationspunkten zu einem "Abgleiten" des Verhaltens in solche Attraktoren führen kann.

However, this example has no topological mixing, and therefore has no chaos. Indeed, it has extremely simple behavior: all points except 0 tend to positive or negative infinity.

Topological transitivity is a weaker version of topological mixing. Intuitively, if a map is topologically transitive then given a point x and a region V , there exists a point y near x whose orbit passes through V.

This implies that is impossible to decompose the system into two open sets. An important related theorem is the Birkhoff Transitivity Theorem.

It is easy to see that the existence of a dense orbit implies in topological transitivity. The Birkhoff Transitivity Theorem states that if X is a second countable , complete metric space , then topological transitivity implies the existence of a dense set of points in X that have dense orbits.

For a chaotic system to have dense periodic orbits means that every point in the space is approached arbitrarily closely by periodic orbits.

Sharkovskii's theorem is the basis of the Li and Yorke [36] proof that any continuous one-dimensional system that exhibits a regular cycle of period three will also display regular cycles of every other length, as well as completely chaotic orbits.

The cases of most interest arise when the chaotic behavior takes place on an attractor , since then a large set of initial conditions leads to orbits that converge to this chaotic region.

An easy way to visualize a chaotic attractor is to start with a point in the basin of attraction of the attractor, and then simply plot its subsequent orbit.

Because of the topological transitivity condition, this is likely to produce a picture of the entire final attractor, and indeed both orbits shown in the figure on the right give a picture of the general shape of the Lorenz attractor.

This attractor results from a simple three-dimensional model of the Lorenz weather system. The Lorenz attractor is perhaps one of the best-known chaotic system diagrams, probably because it is not only one of the first, but it is also one of the most complex, and as such gives rise to a very interesting pattern that, with a little imagination, looks like the wings of a butterfly.

Unlike fixed-point attractors and limit cycles , the attractors that arise from chaotic systems, known as strange attractors , have great detail and complexity.

Other discrete dynamical systems have a repelling structure called a Julia set , which forms at the boundary between basins of attraction of fixed points.

Julia sets can be thought of as strange repellers. Both strange attractors and Julia sets typically have a fractal structure, and the fractal dimension can be calculated for them.

Discrete chaotic systems, such as the logistic map, can exhibit strange attractors whatever their dimensionality. Finite-dimensional linear systems are never chaotic; for a dynamical system to display chaotic behavior, it must be either nonlinear or infinite-dimensional.

The Lorenz attractor discussed below is generated by a system of three differential equations such as:.

Five of the terms on the right hand side are linear, while two are quadratic; a total of seven terms. Another well-known chaotic attractor is generated by the Rössler equations , which have only one nonlinear term out of seven.

Sprott [42] found a three-dimensional system with just five terms, that had only one nonlinear term, which exhibits chaos for certain parameter values.

Zhang and Heidel [43] [44] showed that, at least for dissipative and conservative quadratic systems, three-dimensional quadratic systems with only three or four terms on the right-hand side cannot exhibit chaotic behavior.

The reason is, simply put, that solutions to such systems are asymptotic to a two-dimensional surface and therefore solutions are well behaved.

In physics , jerk is the third derivative of position , with respect to time. As such, differential equations of the form.

It has been shown that a jerk equation, which is equivalent to a system of three first order, ordinary, non-linear differential equations, is in a certain sense the minimal setting for solutions showing chaotic behaviour.

This motivates mathematical interest in jerk systems. Systems involving a fourth or higher derivative are called accordingly hyperjerk systems.

A jerk system's behavior is described by a jerk equation, and for certain jerk equations, simple electronic circuits can model solutions.

These circuits are known as jerk circuits. One of the most interesting properties of jerk circuits is the possibility of chaotic behavior.

In fact, certain well-known chaotic systems, such as the Lorenz attractor and the Rössler map , are conventionally described as a system of three first-order differential equations that can combine into a single although rather complicated jerk equation.

Nonlinear jerk systems are in a sense minimally complex systems to show chaotic behaviour; there is no chaotic system involving only two first-order, ordinary differential equations the system resulting in an equation of second order only.

Here, A is an adjustable parameter. The output of op amp 0 will correspond to the x variable, the output of 1 corresponds to the first derivative of x and the output of 2 corresponds to the second derivative.

Similar circuits only require one diode [52] or no diodes at all. See also the well-known Chua's circuit , one basis for chaotic true random number generators.

Under the right conditions, chaos spontaneously evolves into a lockstep pattern. In the Kuramoto model , four conditions suffice to produce synchronization in a chaotic system.

Examples include the coupled oscillation of Christiaan Huygens ' pendulums, fireflies, neurons , the London Millennium Bridge resonance, and large arrays of Josephson junctions.

In the s, while studying the three-body problem , he found that there can be orbits that are nonperiodic, and yet not forever increasing nor approaching a fixed point.

Chaos theory began in the field of ergodic theory. Despite initial insights in the first half of the twentieth century, chaos theory became formalized as such only after mid-century, when it first became evident to some scientists that linear theory , the prevailing system theory at that time, simply could not explain the observed behavior of certain experiments like that of the logistic map.

What had been attributed to measure imprecision and simple " noise " was considered by chaos theorists as a full component of the studied systems.

The main catalyst for the development of chaos theory was the electronic computer. Much of the mathematics of chaos theory involves the repeated iteration of simple mathematical formulas, which would be impractical to do by hand.

Electronic computers made these repeated calculations practical, while figures and images made it possible to visualize these systems. As a graduate student in Chihiro Hayashi's laboratory at Kyoto University, Yoshisuke Ueda was experimenting with analog computers and noticed, on November 27, , what he called "randomly transitional phenomena".

Yet his advisor did not agree with his conclusions at the time, and did not allow him to report his findings until Edward Lorenz was an early pioneer of the theory.

His interest in chaos came about accidentally through his work on weather prediction in He wanted to see a sequence of data again, and to save time he started the simulation in the middle of its course.

He did this by entering a printout of the data that corresponded to conditions in the middle of the original simulation.

To his surprise, the weather the machine began to predict was completely different from the previous calculation. Lorenz tracked this down to the computer printout.

The computer worked with 6-digit precision, but the printout rounded variables off to a 3-digit number, so a value like 0.

This difference is tiny, and the consensus at the time would have been that it should have no practical effect.

However, Lorenz discovered that small changes in initial conditions produced large changes in long-term outcome. In , Benoit Mandelbrot found recurring patterns at every scale in data on cotton prices.

In , he published " How long is the coast of Britain? Statistical self-similarity and fractional dimension ", showing that a coastline's length varies with the scale of the measuring instrument, resembles itself at all scales, and is infinite in length for an infinitesimally small measuring device.

In , Mandelbrot published The Fractal Geometry of Nature , which became a classic of chaos theory. Yorke coiner of the term "chaos" as used in mathematics , Robert Shaw , and the meteorologist Edward Lorenz.

The following year Pierre Coullet and Charles Tresser published "Iterations d'endomorphismes et groupe de renormalisation", and Mitchell Feigenbaum 's article "Quantitative Universality for a Class of Nonlinear Transformations" finally appeared in a journal, after 3 years of referee rejections.

In , Albert J. Feigenbaum for their inspiring achievements. There, Bernardo Huberman presented a mathematical model of the eye tracking disorder among schizophrenics.

In , Per Bak , Chao Tang and Kurt Wiesenfeld published a paper in Physical Review Letters [79] describing for the first time self-organized criticality SOC , considered one of the mechanisms by which complexity arises in nature.

Alongside largely lab-based approaches such as the Bak—Tang—Wiesenfeld sandpile , many other investigations have focused on large-scale natural or social systems that are known or suspected to display scale-invariant behavior.

Although these approaches were not always welcomed at least initially by specialists in the subjects examined, SOC has nevertheless become established as a strong candidate for explaining a number of natural phenomena, including earthquakes , which, long before SOC was discovered, were known as a source of scale-invariant behavior such as the Gutenberg—Richter law describing the statistical distribution of earthquake sizes, and the Omori law [80] describing the frequency of aftershocks , solar flares , fluctuations in economic systems such as financial markets references to SOC are common in econophysics , landscape formation, forest fires , landslides , epidemics , and biological evolution where SOC has been invoked, for example, as the dynamical mechanism behind the theory of " punctuated equilibria " put forward by Niles Eldredge and Stephen Jay Gould.

Given the implications of a scale-free distribution of event sizes, some researchers have suggested that another phenomenon that should be considered an example of SOC is the occurrence of wars.

In the same year, James Gleick published Chaos: Making a New Science , which became a best-seller and introduced the general principles of chaos theory as well as its history to the broad public, though his history under-emphasized important Soviet contributions.

Alluding to Thomas Kuhn 's concept of a paradigm shift exposed in The Structure of Scientific Revolutions , many "chaologists" as some described themselves claimed that this new theory was an example of such a shift, a thesis upheld by Gleick.

The availability of cheaper, more powerful computers broadens the applicability of chaos theory. Currently, chaos theory remains an active area of research, [82] involving many different disciplines such as mathematics , topology , physics , [83] social systems , [84] population modeling , biology , meteorology , astrophysics , information theory , computational neuroscience , pandemic crisis management , [17] [18] etc.

Although chaos theory was born from observing weather patterns, it has become applicable to a variety of other situations. Some areas benefiting from chaos theory today are geology , mathematics , microbiology , biology , computer science , economics , [86] [87] [88] engineering , [89] [90] finance , [91] [92] algorithmic trading , [93] [94] [95] meteorology , philosophy , anthropology , [15] physics , [96] [97] [98] politics , [99] [] population dynamics , [] psychology , [14] and robotics.

A few categories are listed below with examples, but this is by no means a comprehensive list as new applications are appearing.

Chaos theory has been used for many years in cryptography. In the past few decades, chaos and nonlinear dynamics have been used in the design of hundreds of cryptographic primitives.

These algorithms include image encryption algorithms , hash functions , secure pseudo-random number generators , stream ciphers , watermarking and steganography.

Robotics is another area that has recently benefited from chaos theory. Instead of robots acting in a trial-and-error type of refinement to interact with their environment, chaos theory has been used to build a predictive model.

For over a hundred years, biologists have been keeping track of populations of different species with population models. Most models are continuous , but recently scientists have been able to implement chaotic models in certain populations.

While a chaotic model for hydrology has its shortcomings, there is still much to learn from looking at the data through the lens of chaos theory.

Fetal surveillance is a delicate balance of obtaining accurate information while being as noninvasive as possible. Better models of warning signs of fetal hypoxia can be obtained through chaotic modeling.

In chemistry, predicting gas solubility is essential to manufacturing polymers , but models using particle swarm optimization PSO tend to converge to the wrong points.

An improved version of PSO has been created by introducing chaos, which keeps the simulations from getting stuck.

In quantum physics and electrical engineering , the study of large arrays of Josephson junctions benefitted greatly from chaos theory.

Until recently, there was no reliable way to predict when they would occur. But these gas leaks have chaotic tendencies that, when properly modeled, can be predicted fairly accurately.

Glass [] and Mandell and Selz [] have found that no EEG study has as yet indicated the presence of strange attractors or other signs of chaotic behavior.

Researchers have continued to apply chaos theory to psychology. For example, in modeling group behavior in which heterogeneous members may behave as if sharing to different degrees what in Wilfred Bion 's theory is a basic assumption, researchers have found that the group dynamic is the result of the individual dynamics of the members: each individual reproduces the group dynamics in a different scale, and the chaotic behavior of the group is reflected in each member.

Redington and Reidbord attempted to demonstrate that the human heart could display chaotic traits. They monitored the changes in between-heartbeat intervals for a single psychotherapy patient as she moved through periods of varying emotional intensity during a therapy session.

Results were admittedly inconclusive. Not only were there ambiguities in the various plots the authors produced to purportedly show evidence of chaotic dynamics spectral analysis, phase trajectory, and autocorrelation plots , but also when they attempted to compute a Lyapunov exponent as more definitive confirmation of chaotic behavior, the authors found they could not reliably do so.

In their paper, Metcalf and Allen [] maintained that they uncovered in animal behavior a pattern of period doubling leading to chaos.

The authors examined a well-known response called schedule-induced polydipsia, by which an animal deprived of food for certain lengths of time will drink unusual amounts of water when the food is at last presented.

The control parameter r operating here was the length of the interval between feedings, once resumed. The authors were careful to test a large number of animals and to include many replications, and they designed their experiment so as to rule out the likelihood that changes in response patterns were caused by different starting places for r.

Time series and first delay plots provide the best support for the claims made, showing a fairly clear march from periodicity to irregularity as the feeding times were increased.

The various phase trajectory plots and spectral analyses, on the other hand, do not match up well enough with the other graphs or with the overall theory to lead inexorably to a chaotic diagnosis.

For example, the phase trajectories do not show a definite progression towards greater and greater complexity and away from periodicity ; the process seems quite muddied.

Also, where Metcalf and Allen saw periods of two and six in their spectral plots, there is room for alternative interpretations.

All of this ambiguity necessitate some serpentine, post-hoc explanation to show that results fit a chaotic model. By adapting a model of career counseling to include a chaotic interpretation of the relationship between employees and the job market, Aniundson and Bright found that better suggestions can be made to people struggling with career decisions.

For instance, team building and group development is increasingly being researched as an inherently unpredictable system, as the uncertainty of different individuals meeting for the first time makes the trajectory of the team unknowable.

Some say the chaos metaphor—used in verbal theories—grounded on mathematical models and psychological aspects of human behavior provides helpful insights to describing the complexity of small work groups, that go beyond the metaphor itself.

It is possible that economic models can also be improved through an application of chaos theory, but predicting the health of an economic system and what factors influence it most is an extremely complex task.

The empirical literature that tests for chaos in economics and finance presents very mixed results, in part due to confusion between specific tests for chaos and more general tests for non-linear relationships.

Traffic forecasting may benefit from applications of chaos theory. Better predictions of when traffic will occur would allow measures to be taken to disperse it before it would have occurred.

Combining chaos theory principles with a few other methods has led to a more accurate short-term prediction model see the plot of the BML traffic model at right.

Chaos theory has been applied to environmental water cycle data aka hydrological data , such as rainfall and streamflow. Early studies tended to "succeed" in finding chaos, whereas subsequent studies and meta-analyses called those studies into question and provided explanations for why these datasets are not likely to have low-dimension chaotic dynamics.

From Wikipedia, the free encyclopedia. Redirected from Chaos Theory. Field of mathematics. For other uses, see Chaos theory disambiguation and Chaos disambiguation.

Main article: Supersymmetric theory of stochastic dynamics. Main article: Butterfly effect. Systems science portal Mathematics portal.

Yorke George M. Math Vault. Retrieved Encyclopedia Britannica. University of Chicago Press. The British Journal for the Philosophy of Science.

April Mathematics of Planet Earth Retrieved 12 June Journal of the Atmospheric Sciences. Bibcode : JAtS Ivancevic Complex nonlinearity: chaos, phase transitions, topology change, and path integrals.

Bibcode : Chaos.. On the order of chaos. Social anthropology and the science of chaos. Oxford: Berghahn Books. Swiss Physical Society. Helvetica Physica Acta 62 : — Harvard Business Review Press.

Bibcode : Sci Cambridge University Press. Discrete Chaos. Topology and its applications. The American Mathematical Monthly.

Nonlinear Dynamics: A Primer. March Bibcode : Entrp.. Modern Physics Letters B. Bibcode : MPLB MIT News. Global Warming and the Future of the Earth.

American Mathematical Monthly. Bibcode : AmMM Archived from the original PDF on The first is that of randomness or unpredictability, as in the trajectory of a molecule in a gas or in the voting choice of a particular individual from out of a population.

In conventional analyses, randomness was considered more apparent than real, arising from ignorance of the many causes at work.

In other words, it was commonly believed that the world is unpredictable because it is complicated. The second notion is that of deterministic motion , as that of a pendulum or a planet , which has been accepted since the time of Isaac Newton as exemplifying the success of science in rendering predictable that which is initially complex.

In recent decades, however, a diversity of systems have been studied that behave unpredictably despite their seeming simplicity and the fact that the forces involved are governed by well-understood physical laws.

The common element in these systems is a very high degree of sensitivity to initial conditions and to the way in which they are set in motion.

On strange attractors the dynamics is chaotic. Later it was recognized that strange attractors have detailed structure on all scales of magnification; a direct result of this recognition was the development of the concept of the fractal a class of complex geometric shapes that commonly exhibit the property of self-similarity , which led in turn to remarkable developments in computer graphics.

Applications of the mathematics of chaos are highly diverse , including the study of turbulent flow of fluids, irregularities in heartbeat, population dynamics, chemical reactions , plasma physics , and the motion of groups and clusters of stars.

Chaos theory. Article Media. Info Print Cite. Submit Feedback. Thank you for your feedback. Home Science Mathematics. The Editors of Encyclopaedia Britannica Encyclopaedia Britannica's editors oversee subject areas in which they have extensive knowledge, whether from years of experience gained by working on that content or via study for an advanced degree See Article History.

Alternative Titles: chaotic behaviour, deterministic chaos. Read More on This Topic.